Greater Chicago Area
Passionate about data analysis from start to finish – designing efficient tables and queries, creating customizable visualizations, and performing statistical analysis – in order to build sustainable tools to enable actionable business insights.
- Maintained and built ETL pipelines running in Apache Airflow - Maintained and improved data infrastructure in Amazon S3 and Redshift including optimizing and automating cluster maintenance tasks - Managed code deploy, maintenance, and testing using Github and Drone
- Building, designing, and optimizing tables for aggregation, clean-up, and reporting on complex data sets - Creating interactive and modular data visualizations in Tableau and Looker - Designing and implementing various analyses on product performance and inventory targeting - Working closely with stakeholders to leverage data for business needs
- Educated and mentored 30+ graduate students in Introduction to Python Programming and Bioinformatics classes - Developed curriculum and assignments in concert with professor to integrate new libraries and tools into curriculum - Nominated for Physical Sciences Teaching Prize in March 2018
- Designed and implemented a project to build a machine-learning model for diagnosing Parkinson’s disease in living patients - Cleaned and collated multiple data sets from different sources - Compared and contrasted impact of different feature selection algorithms and cohort balancing methods on two classification models (logistic regression and SVM)
- Designed and completed honors project assessing impact of cellular changes on cancer metastasis - Assisted in writing published scientific papers and grants